IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/54628.html
   My bibliography  Save this paper

Externalities of Education on Efficiency and Production Uncertainty of Maize in Rural Malawi

Author

Listed:
  • Mussa, Richard

Abstract

The paper looks at the existence, nature and form of intrahousehold and interhousehold externalities of education on efficiency and production uncertainty of maize in rural Malawi. Data from the Third Integrated Household Survey are used. I find statistically and economically significant positive intrahousehold and interhousehold externalities of education on both efficiency and production uncertainty, and that the intrahousehold externality effects are larger than interhousehold externality effects. Community level schooling is found to substitute for household level schooling in the sense that farmers who reside in households where members are not educated have relatively higher efficiency and lower production uncertainty on account of living in communities where some inhabitants are educated. The paper also finds that the intrahousehold and interhousehold externality effects are more pronounced for the least efficient farmers, and that they are monotonic, and largest when schooling is relatively low.

Suggested Citation

  • Mussa, Richard, 2014. "Externalities of Education on Efficiency and Production Uncertainty of Maize in Rural Malawi," MPRA Paper 54628, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:54628
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/54628/1/MPRA_paper_54628.pdf
    File Function: original version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/58468/9/MPRA_paper_58468.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anil Bera & Subhash Sharma, 1999. "Estimating Production Uncertainty in Stochastic Frontier Production Function Models," Journal of Productivity Analysis, Springer, vol. 12(3), pages 187-210, November.
    2. Coelli, Tim J. & Battese, George E., 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(2), pages 1-26, August.
    3. Hadri, Kaddour, 1999. "Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 359-363, July.
    4. Deininger, Klaus & Jin, Songqing, 2006. "Tenure security and land-related investment: Evidence from Ethiopia," European Economic Review, Elsevier, vol. 50(5), pages 1245-1277, July.
    5. Véronique Gille, 2012. "Education spillovers: empirical evidence in rural India," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 5(1), pages 4-24, April.
    6. Simon Appleton & Arsene Balihuta, 1996. "Education and agricultural productivity: Evidence from Uganda," Journal of International Development, John Wiley & Sons, Ltd., vol. 8(3), pages 415-444.
    7. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    8. Sherlund, Shane M. & Barrett, Christopher B. & Adesina, Akinwumi A., 2002. "Smallholder technical efficiency controlling for environmental production conditions," Journal of Development Economics, Elsevier, vol. 69(1), pages 85-101, October.
    9. Basu, Kaushik & Narayan, Ambar & Ravallion, Martin, 2001. "Is literacy shared within households? Theory and evidence for Bangladesh," Labour Economics, Elsevier, vol. 8(6), pages 649-665, December.
    10. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    11. Ecker, Olivier & Qaim, Matin, 2011. "Analyzing Nutritional Impacts of Policies: An Empirical Study for Malawi," World Development, Elsevier, vol. 39(3), pages 412-428, March.
    12. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    13. Sharada Weir & John Knight, 2007. "Production Externalities of Education: Evidence from Rural Ethiopia," Journal of African Economies, Centre for the Study of African Economies, vol. 16(1), pages 134-165, January.
    14. Basu, Kaushik & Foster, James E, 1998. "On Measuring Literacy," Economic Journal, Royal Economic Society, vol. 108(451), pages 1733-1749, November.
    15. M. N. Asadullah & S. Rahman, 2009. "Farm productivity and efficiency in rural Bangladesh: the role of education revisited," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 17-33.
    16. Weir, Sharada & Knight, John, 2004. "Externality Effects of Education: Dynamics of the Adoption and Diffusion of an Innovation in Rural Ethiopia," Economic Development and Cultural Change, University of Chicago Press, vol. 53(1), pages 93-113, October.
    17. Ariel Dinar & Giannis Karagiannis & Vangelis Tzouvelekas, 2007. "Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach," Agricultural Economics, International Association of Agricultural Economists, vol. 36(2), pages 135-146, March.
    18. Yanyan Liu & Robert Myers, 2009. "Model selection in stochastic frontier analysis with an application to maize production in Kenya," Journal of Productivity Analysis, Springer, vol. 31(1), pages 33-46, February.
    19. World Bank, 2013. "Malawi Public Expenditure Review," World Bank Publications - Reports 20586, The World Bank Group.
    20. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    21. Simon Appleton & Arsene Balihuta, 1996. "Education and agricultural productivity: Evidence from Uganda," Journal of International Development, John Wiley & Sons, Ltd., vol. 8(3), pages 415-444.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. DJOKOTO, Justice Gameli & OWUSU, Victor & AWUNYO-VITOR, Dadson, 2020. "Is Organic Agriculture More Scale Efficient Than Conventional Agriculture? The Case Of Cocoa Cultivation In Ghana," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 23(2), October.
    2. Nancy McCarthy & Talip Kilic & Alejandro de la Fuente & Joshua M. Brubaker, 2018. "Shelter from the Storm? Household-Level Impacts of, and Responses to, the 2015 Floods in Malawi," Economics of Disasters and Climate Change, Springer, vol. 2(3), pages 237-258, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mussa, Richard, 2017. "Long-term Effects of Early Life Maize Yield on Maize Productivity and Efficiency in Rural Malawi," MPRA Paper 75975, University Library of Munich, Germany.
    2. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    3. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    4. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    5. Efecan, Volkan & Temiz, İzzettin, 2023. "Assessing the technical efficiency of container ports based on a non-monotonic inefficiency effects model," Utilities Policy, Elsevier, vol. 81(C).
    6. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    7. Ajayi, Victor & Weyman-Jones, Tom, 2021. "State-level electricity generation efficiency: Do restructuring and regulatory institutions matter in the US?," Energy Economics, Elsevier, vol. 104(C).
    8. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    9. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    10. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    11. Ajayi, V. & Weyman-Jones, T., 2021. "State-Level Electricity Generation Efficiency: Do Restructuring and Regulatory Institutions Matter in the US?," Cambridge Working Papers in Economics 2166, Faculty of Economics, University of Cambridge.
    12. M. N. Asadullah & S. Rahman, 2009. "Farm productivity and efficiency in rural Bangladesh: the role of education revisited," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 17-33.

    More about this item

    Keywords

    intrahousehold; interhousehold; externality; Malawi;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:54628. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.